Recently, with the rising up of deep learning, many data-driven methods have achieved impressive dehazing performance. Some methods follow the atmospheric scattering model, and derive more accurate transmission map and atmospheric light via designing convolution neural networks with BReLU [1]} , coarse-scale and fine-scale net [2]}, and densely connected pyramid structure [3]}.
